by mm7894215 · Codex Skill · ★ 971
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Token Tracker English · 简体中文 · 日本語 · 한국어 Know exactly what you're spending on AI — across every CLI Auto-collect token counts from 22 AI coding tools, aggregate them locally, and see real cost trends in a beautiful dashboard. No cloud account, no API keys, no setup — just one command. [
Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A wi
Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and p
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TokenTracker is Track token usage across 25 AI coding tools — Claude Code, Codex, Cursor, Gemini, Kiro, OpenCode, Antigravity, Copilot, Kimi, CodeBuddy, WorkBuddy, Grok, Kilo, Roo, Zed, Goose, Mimo, ZCode & more — lo. It is categorized as a Codex Skill with 971 GitHub stars.
TokenTracker is primarily written in JavaScript. It covers topics such as ai, ai-agent, ai-tools.
You can find installation instructions and usage details in the TokenTracker GitHub repository at github.com/mm7894215/TokenTracker. The project has 971 stars and 95 forks, indicating an active community.
TokenTracker is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to TokenTracker on Agent Skills Hub include token-monitor, ai-devkit, hcom. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.